{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/jkrehbiel/Dropbox/Unpopular Courts Paper/Unpopular Courts AJPS/BJPS R&R/BJPS Final Manuscript Documents/Replication Materials/Log File Robustness.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}30 Jan 2020, 13:29:49

{com}. import delimited "/Users/jkrehbiel//Dropbox/Unpopular Courts Paper/Unpopular Courts AJPS/BJPS R&R/BJPS_replication_data.csv", clear
{res}{err}file /Users/jkrehbiel//Dropbox/Unpopular Courts Paper/Unpopular Courts AJPS/BJPS R&R/BJPS_replication_data.csv not found
{txt}{search r(601):r(601);}

{com}. 
. import delimited "/Users/jkrehbiel//Dropbox/Unpopular Courts Paper/Unpopular Courts AJPS/BJPS R&R/BJPS Final Manuscript Documents/Replication Materials/BJPS_replication_data.csv", clear
{res}{text}(32 vars, 3861 obs)

{com}. 
. ******ROBUSTNESS - CITATION COUNT

. 
. *Model 2 including Citation Count Variable

. logit ecj_int1 c.sumcaseobs1 c.netint citation_count  i.agproint i.agantiint i.freegoods_guum i.agri_guum i.freework_guum i.estab_guum i.services_guum i.capital_guum i.transport_guum i.compet_guum i.tax_guum i.socialprov_guum i.environment_guum i.consum_guum c.lastelectionpartycompetition c.eu_support i.court_size i.countrycode , vce(cluster case_celex)

{txt}note: 17.countrycode != 0 predicts failure perfectly
      17.countrycode dropped and 1 obs not used

note: 19.countrycode != 0 predicts failure perfectly
      19.countrycode dropped and 17 obs not used

note: 21.countrycode != 0 predicts failure perfectly
      21.countrycode dropped and 2 obs not used

note: 22.countrycode != 0 predicts failure perfectly
      22.countrycode dropped and 1 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2497.3435}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1583.4049}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1562.7858}  
Iteration 3:{space 3}log pseudolikelihood = {res: -1562.686}  
Iteration 4:{space 3}log pseudolikelihood = {res: -1562.686}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}      3808
{txt}{col 51}{help j_robustsingular##|_new:Wald chi2(38)}{col 67}=          {res}.
{txt}{col 51}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res} -1562.686{txt}{col 51}Pseudo R2{col 67}= {res}    0.3743

{txt}{ralign 80:(Std. Err. adjusted for {res:1587} clusters in case_celex)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}      ecj_int1{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}sumcaseobs1 {c |}{col 16}{res}{space 2}-1.724199{col 28}{space 2} .6339263{col 39}{space 1}   -2.72{col 48}{space 3}0.007{col 56}{space 4}-2.966672{col 69}{space 3}-.4817267
{txt}{space 8}netint {c |}{col 16}{res}{space 2}  2.96336{col 28}{space 2} .5847732{col 39}{space 1}    5.07{col 48}{space 3}0.000{col 56}{space 4} 1.817225{col 69}{space 3} 4.109494
{txt}citation_count {c |}{col 16}{res}{space 2} .0044791{col 28}{space 2} .0019819{col 39}{space 1}    2.26{col 48}{space 3}0.024{col 56}{space 4} .0005947{col 69}{space 3} .0083635
{txt}{space 4}1.agproint {c |}{col 16}{res}{space 2} 3.537725{col 28}{space 2} .1294101{col 39}{space 1}   27.34{col 48}{space 3}0.000{col 56}{space 4} 3.284085{col 69}{space 3} 3.791364
{txt}{space 3}1.agantiint {c |}{col 16}{res}{space 2} .5117341{col 28}{space 2} .1357383{col 39}{space 1}    3.77{col 48}{space 3}0.000{col 56}{space 4} .2456919{col 69}{space 3} .7777762
{txt}1.freegoods_~m {c |}{col 16}{res}{space 2} -.137004{col 28}{space 2} .1810159{col 39}{space 1}   -0.76{col 48}{space 3}0.449{col 56}{space 4}-.4917887{col 69}{space 3} .2177808
{txt}{space 3}1.agri_guum {c |}{col 16}{res}{space 2}-.0192527{col 28}{space 2} .1805501{col 39}{space 1}   -0.11{col 48}{space 3}0.915{col 56}{space 4}-.3731243{col 69}{space 3}  .334619
{txt}1.freework_g~m {c |}{col 16}{res}{space 2} .5825403{col 28}{space 2} .2072797{col 39}{space 1}    2.81{col 48}{space 3}0.005{col 56}{space 4} .1762796{col 69}{space 3} .9888011
{txt}{space 2}1.estab_guum {c |}{col 16}{res}{space 2}-.1914568{col 28}{space 2} .2042351{col 39}{space 1}   -0.94{col 48}{space 3}0.349{col 56}{space 4}-.5917501{col 69}{space 3} .2088366
{txt}1.services_g~m {c |}{col 16}{res}{space 2} .2778937{col 28}{space 2}  .224673{col 39}{space 1}    1.24{col 48}{space 3}0.216{col 56}{space 4}-.1624574{col 69}{space 3} .7182448
{txt}1.capital_guum {c |}{col 16}{res}{space 2} .1999618{col 28}{space 2} .2681166{col 39}{space 1}    0.75{col 48}{space 3}0.456{col 56}{space 4}-.3255372{col 69}{space 3} .7254607
{txt}1.transport_~m {c |}{col 16}{res}{space 2}-.4477624{col 28}{space 2} .2906756{col 39}{space 1}   -1.54{col 48}{space 3}0.123{col 56}{space 4}-1.017476{col 69}{space 3} .1219514
{txt}{space 1}1.compet_guum {c |}{col 16}{res}{space 2}-.5315602{col 28}{space 2} .1802594{col 39}{space 1}   -2.95{col 48}{space 3}0.003{col 56}{space 4}-.8848622{col 69}{space 3}-.1782583
{txt}{space 4}1.tax_guum {c |}{col 16}{res}{space 2} .4211475{col 28}{space 2} .1855411{col 39}{space 1}    2.27{col 48}{space 3}0.023{col 56}{space 4} .0574937{col 69}{space 3} .7848013
{txt}1.socialprov~m {c |}{col 16}{res}{space 2} .6745166{col 28}{space 2} .2172065{col 39}{space 1}    3.11{col 48}{space 3}0.002{col 56}{space 4} .2487997{col 69}{space 3} 1.100234
{txt}1.environmen~m {c |}{col 16}{res}{space 2} .4778392{col 28}{space 2} .2525977{col 39}{space 1}    1.89{col 48}{space 3}0.059{col 56}{space 4}-.0172433{col 69}{space 3} .9729216
{txt}{space 1}1.consum_guum {c |}{col 16}{res}{space 2} .0254024{col 28}{space 2} .2432541{col 39}{space 1}    0.10{col 48}{space 3}0.917{col 56}{space 4}-.4513668{col 69}{space 3} .5021717
{txt}lastelection~n {c |}{col 16}{res}{space 2} .3518669{col 28}{space 2} 1.078066{col 39}{space 1}    0.33{col 48}{space 3}0.744{col 56}{space 4}-1.761103{col 69}{space 3} 2.464837
{txt}{space 4}eu_support {c |}{col 16}{res}{space 2}-.0098153{col 28}{space 2} .0095575{col 39}{space 1}   -1.03{col 48}{space 3}0.304{col 56}{space 4}-.0285477{col 69}{space 3}  .008917
{txt}{space 14} {c |}
{space 4}court_size {c |}
{space 11}25  {c |}{col 16}{res}{space 2} .0952828{col 28}{space 2} .1532467{col 39}{space 1}    0.62{col 48}{space 3}0.534{col 56}{space 4}-.2050752{col 69}{space 3} .3956408
{txt}{space 11}27  {c |}{col 16}{res}{space 2}  .224896{col 28}{space 2} .1467592{col 39}{space 1}    1.53{col 48}{space 3}0.125{col 56}{space 4}-.0627468{col 69}{space 3} .5125388
{txt}{space 14} {c |}
{space 3}countrycode {c |}
{space 12}2  {c |}{col 16}{res}{space 2} .1612156{col 28}{space 2}  .334101{col 39}{space 1}    0.48{col 48}{space 3}0.629{col 56}{space 4}-.4936104{col 69}{space 3} .8160415
{txt}{space 12}3  {c |}{col 16}{res}{space 2} .4344846{col 28}{space 2} .2567478{col 39}{space 1}    1.69{col 48}{space 3}0.091{col 56}{space 4}-.0687319{col 69}{space 3}  .937701
{txt}{space 12}4  {c |}{col 16}{res}{space 2}-.1023853{col 28}{space 2} .4439391{col 39}{space 1}   -0.23{col 48}{space 3}0.818{col 56}{space 4}-.9724899{col 69}{space 3} .7677194
{txt}{space 12}5  {c |}{col 16}{res}{space 2} .3659078{col 28}{space 2} .3449797{col 39}{space 1}    1.06{col 48}{space 3}0.289{col 56}{space 4}  -.31024{col 69}{space 3} 1.042056
{txt}{space 12}6  {c |}{col 16}{res}{space 2} .1135917{col 28}{space 2} .4399855{col 39}{space 1}    0.26{col 48}{space 3}0.796{col 56}{space 4} -.748764{col 69}{space 3} .9759473
{txt}{space 12}7  {c |}{col 16}{res}{space 2}-1.282912{col 28}{space 2} .5784629{col 39}{space 1}   -2.22{col 48}{space 3}0.027{col 56}{space 4}-2.416679{col 69}{space 3}-.1491456
{txt}{space 12}8  {c |}{col 16}{res}{space 2} .1464773{col 28}{space 2} .3259837{col 39}{space 1}    0.45{col 48}{space 3}0.653{col 56}{space 4}-.4924389{col 69}{space 3} .7853935
{txt}{space 12}9  {c |}{col 16}{res}{space 2}-.2144188{col 28}{space 2} .5660608{col 39}{space 1}   -0.38{col 48}{space 3}0.705{col 56}{space 4}-1.323878{col 69}{space 3}   .89504
{txt}{space 11}10  {c |}{col 16}{res}{space 2}   .08371{col 28}{space 2} .2903199{col 39}{space 1}    0.29{col 48}{space 3}0.773{col 56}{space 4}-.4853065{col 69}{space 3} .6527265
{txt}{space 11}11  {c |}{col 16}{res}{space 2} .0442465{col 28}{space 2} .3498792{col 39}{space 1}    0.13{col 48}{space 3}0.899{col 56}{space 4} -.641504{col 69}{space 3} .7299971
{txt}{space 11}12  {c |}{col 16}{res}{space 2}  .644074{col 28}{space 2} .5256556{col 39}{space 1}    1.23{col 48}{space 3}0.220{col 56}{space 4}-.3861921{col 69}{space 3}  1.67434
{txt}{space 11}13  {c |}{col 16}{res}{space 2} .0671435{col 28}{space 2} .3642888{col 39}{space 1}    0.18{col 48}{space 3}0.854{col 56}{space 4}-.6468494{col 69}{space 3} .7811365
{txt}{space 11}14  {c |}{col 16}{res}{space 2} .4536353{col 28}{space 2} .5213943{col 39}{space 1}    0.87{col 48}{space 3}0.384{col 56}{space 4}-.5682789{col 69}{space 3} 1.475549
{txt}{space 11}15  {c |}{col 16}{res}{space 2}-.1080599{col 28}{space 2} .5047873{col 39}{space 1}   -0.21{col 48}{space 3}0.830{col 56}{space 4}-1.097425{col 69}{space 3}  .881305
{txt}{space 11}16  {c |}{col 16}{res}{space 2} .2108454{col 28}{space 2} .3594324{col 39}{space 1}    0.59{col 48}{space 3}0.557{col 56}{space 4}-.4936291{col 69}{space 3}   .91532
{txt}{space 11}17  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (empty)
{space 11}18  {c |}{col 16}{res}{space 2} .7649781{col 28}{space 2} 1.018655{col 39}{space 1}    0.75{col 48}{space 3}0.453{col 56}{space 4}-1.231549{col 69}{space 3} 2.761505
{txt}{space 11}19  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (empty)
{space 11}20  {c |}{col 16}{res}{space 2} .1502055{col 28}{space 2} 1.184114{col 39}{space 1}    0.13{col 48}{space 3}0.899{col 56}{space 4}-2.170615{col 69}{space 3} 2.471026
{txt}{space 11}21  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (empty)
{space 11}22  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (empty)
{space 11}23  {c |}{col 16}{res}{space 2} 2.007934{col 28}{space 2} .7759288{col 39}{space 1}    2.59{col 48}{space 3}0.010{col 56}{space 4} .4871412{col 69}{space 3} 3.528726
{txt}{space 14} {c |}
{space 9}_cons {c |}{col 16}{res}{space 2} -1.70407{col 28}{space 2}  .633069{col 39}{space 1}   -2.69{col 48}{space 3}0.007{col 56}{space 4}-2.944862{col 69}{space 3}-.4632774
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Model 4 including Citation Count Variable

. logit ecj_int1 c.sumcaseobs1##c.netint  citation_count  i.agproint i.agantiint i.freegoods_guum i.agri_guum i.freework_guum i.estab_guum i.services_guum i.capital_guum i.transport_guum i.compet_guum i.tax_guum i.socialprov_guum i.environment_guum i.consum_guum c.lastelectionpartycompetition c.eu_support i.court_size i.countrycode , vce(cluster case_celex)

{txt}note: 17.countrycode != 0 predicts failure perfectly
      17.countrycode dropped and 1 obs not used

note: 19.countrycode != 0 predicts failure perfectly
      19.countrycode dropped and 17 obs not used

note: 21.countrycode != 0 predicts failure perfectly
      21.countrycode dropped and 2 obs not used

note: 22.countrycode != 0 predicts failure perfectly
      22.countrycode dropped and 1 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2497.3435}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1580.9202}  
Iteration 2:{space 3}log pseudolikelihood = {res: -1560.946}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1560.8484}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1560.8484}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}      3808
{txt}{col 51}{help j_robustsingular##|_new:Wald chi2(39)}{col 67}=          {res}.
{txt}{col 51}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-1560.8484{txt}{col 51}Pseudo R2{col 67}= {res}    0.3750

{txt}{ralign 80:(Std. Err. adjusted for {res:1587} clusters in case_celex)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}      ecj_int1{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}sumcaseobs1 {c |}{col 16}{res}{space 2}-2.049492{col 28}{space 2} .6588928{col 39}{space 1}   -3.11{col 48}{space 3}0.002{col 56}{space 4}-3.340898{col 69}{space 3} -.758086
{txt}{space 8}netint {c |}{col 16}{res}{space 2} 4.183196{col 28}{space 2} .9227113{col 39}{space 1}    4.53{col 48}{space 3}0.000{col 56}{space 4} 2.374715{col 69}{space 3} 5.991677
{txt}{space 14} {c |}
{space 1}c.sumcaseobs1#{c |}
{space 6}c.netint {c |}{col 16}{res}{space 2}-5.252244{col 28}{space 2} 2.499304{col 39}{space 1}   -2.10{col 48}{space 3}0.036{col 56}{space 4}-10.15079{col 69}{space 3}-.3536983
{txt}{space 14} {c |}
citation_count {c |}{col 16}{res}{space 2} .0044376{col 28}{space 2} .0019619{col 39}{space 1}    2.26{col 48}{space 3}0.024{col 56}{space 4} .0005924{col 69}{space 3} .0082828
{txt}{space 4}1.agproint {c |}{col 16}{res}{space 2} 3.553224{col 28}{space 2} .1303704{col 39}{space 1}   27.25{col 48}{space 3}0.000{col 56}{space 4} 3.297703{col 69}{space 3} 3.808746
{txt}{space 3}1.agantiint {c |}{col 16}{res}{space 2} .5253732{col 28}{space 2} .1358467{col 39}{space 1}    3.87{col 48}{space 3}0.000{col 56}{space 4} .2591185{col 69}{space 3} .7916279
{txt}1.freegoods_~m {c |}{col 16}{res}{space 2}  -.14711{col 28}{space 2} .1808833{col 39}{space 1}   -0.81{col 48}{space 3}0.416{col 56}{space 4}-.5016348{col 69}{space 3} .2074148
{txt}{space 3}1.agri_guum {c |}{col 16}{res}{space 2}-.0305054{col 28}{space 2} .1800471{col 39}{space 1}   -0.17{col 48}{space 3}0.865{col 56}{space 4}-.3833912{col 69}{space 3} .3223804
{txt}1.freework_g~m {c |}{col 16}{res}{space 2}  .592194{col 28}{space 2} .2073732{col 39}{space 1}    2.86{col 48}{space 3}0.004{col 56}{space 4} .1857499{col 69}{space 3} .9986381
{txt}{space 2}1.estab_guum {c |}{col 16}{res}{space 2}-.1924816{col 28}{space 2} .2023222{col 39}{space 1}   -0.95{col 48}{space 3}0.341{col 56}{space 4}-.5890259{col 69}{space 3} .2040627
{txt}1.services_g~m {c |}{col 16}{res}{space 2} .2772093{col 28}{space 2} .2224267{col 39}{space 1}    1.25{col 48}{space 3}0.213{col 56}{space 4} -.158739{col 69}{space 3} .7131576
{txt}1.capital_guum {c |}{col 16}{res}{space 2} .2172684{col 28}{space 2} .2695635{col 39}{space 1}    0.81{col 48}{space 3}0.420{col 56}{space 4}-.3110665{col 69}{space 3} .7456032
{txt}1.transport_~m {c |}{col 16}{res}{space 2} -.444878{col 28}{space 2} .2896107{col 39}{space 1}   -1.54{col 48}{space 3}0.125{col 56}{space 4}-1.012504{col 69}{space 3} .1227485
{txt}{space 1}1.compet_guum {c |}{col 16}{res}{space 2}-.5303015{col 28}{space 2} .1795648{col 39}{space 1}   -2.95{col 48}{space 3}0.003{col 56}{space 4} -.882242{col 69}{space 3}-.1783609
{txt}{space 4}1.tax_guum {c |}{col 16}{res}{space 2} .4258193{col 28}{space 2} .1853322{col 39}{space 1}    2.30{col 48}{space 3}0.022{col 56}{space 4} .0625749{col 69}{space 3} .7890637
{txt}1.socialprov~m {c |}{col 16}{res}{space 2} .6898192{col 28}{space 2} .2172886{col 39}{space 1}    3.17{col 48}{space 3}0.002{col 56}{space 4} .2639414{col 69}{space 3} 1.115697
{txt}1.environmen~m {c |}{col 16}{res}{space 2} .4959752{col 28}{space 2}  .252089{col 39}{space 1}    1.97{col 48}{space 3}0.049{col 56}{space 4}   .00189{col 69}{space 3} .9900605
{txt}{space 1}1.consum_guum {c |}{col 16}{res}{space 2} .0475101{col 28}{space 2} .2446532{col 39}{space 1}    0.19{col 48}{space 3}0.846{col 56}{space 4}-.4320014{col 69}{space 3} .5270216
{txt}lastelection~n {c |}{col 16}{res}{space 2} .3375902{col 28}{space 2} 1.078139{col 39}{space 1}    0.31{col 48}{space 3}0.754{col 56}{space 4}-1.775523{col 69}{space 3} 2.450703
{txt}{space 4}eu_support {c |}{col 16}{res}{space 2}-.0098638{col 28}{space 2} .0095449{col 39}{space 1}   -1.03{col 48}{space 3}0.301{col 56}{space 4}-.0285715{col 69}{space 3}  .008844
{txt}{space 14} {c |}
{space 4}court_size {c |}
{space 11}25  {c |}{col 16}{res}{space 2} .0913101{col 28}{space 2} .1535316{col 39}{space 1}    0.59{col 48}{space 3}0.552{col 56}{space 4}-.2096064{col 69}{space 3} .3922266
{txt}{space 11}27  {c |}{col 16}{res}{space 2} .2251581{col 28}{space 2} .1468636{col 39}{space 1}    1.53{col 48}{space 3}0.125{col 56}{space 4}-.0626894{col 69}{space 3} .5130055
{txt}{space 14} {c |}
{space 3}countrycode {c |}
{space 12}2  {c |}{col 16}{res}{space 2} .1571555{col 28}{space 2} .3353459{col 39}{space 1}    0.47{col 48}{space 3}0.639{col 56}{space 4}-.5001105{col 69}{space 3} .8144214
{txt}{space 12}3  {c |}{col 16}{res}{space 2} .4372373{col 28}{space 2} .2562055{col 39}{space 1}    1.71{col 48}{space 3}0.088{col 56}{space 4}-.0649163{col 69}{space 3} .9393909
{txt}{space 12}4  {c |}{col 16}{res}{space 2}-.0976295{col 28}{space 2}  .439545{col 39}{space 1}   -0.22{col 48}{space 3}0.824{col 56}{space 4}-.9591219{col 69}{space 3} .7638628
{txt}{space 12}5  {c |}{col 16}{res}{space 2} .3673359{col 28}{space 2} .3474988{col 39}{space 1}    1.06{col 48}{space 3}0.290{col 56}{space 4}-.3137493{col 69}{space 3} 1.048421
{txt}{space 12}6  {c |}{col 16}{res}{space 2} .1310568{col 28}{space 2} .4422036{col 39}{space 1}    0.30{col 48}{space 3}0.767{col 56}{space 4}-.7356463{col 69}{space 3} .9977598
{txt}{space 12}7  {c |}{col 16}{res}{space 2}-1.298702{col 28}{space 2} .5858962{col 39}{space 1}   -2.22{col 48}{space 3}0.027{col 56}{space 4}-2.447037{col 69}{space 3}-.1503666
{txt}{space 12}8  {c |}{col 16}{res}{space 2} .1505591{col 28}{space 2} .3260839{col 39}{space 1}    0.46{col 48}{space 3}0.644{col 56}{space 4}-.4885536{col 69}{space 3} .7896717
{txt}{space 12}9  {c |}{col 16}{res}{space 2}-.2321194{col 28}{space 2} .5700668{col 39}{space 1}   -0.41{col 48}{space 3}0.684{col 56}{space 4} -1.34943{col 69}{space 3}  .885191
{txt}{space 11}10  {c |}{col 16}{res}{space 2} .0926442{col 28}{space 2} .2887249{col 39}{space 1}    0.32{col 48}{space 3}0.748{col 56}{space 4}-.4732461{col 69}{space 3} .6585345
{txt}{space 11}11  {c |}{col 16}{res}{space 2} .0496246{col 28}{space 2} .3498083{col 39}{space 1}    0.14{col 48}{space 3}0.887{col 56}{space 4}-.6359871{col 69}{space 3} .7352362
{txt}{space 11}12  {c |}{col 16}{res}{space 2} .6614236{col 28}{space 2} .5241403{col 39}{space 1}    1.26{col 48}{space 3}0.207{col 56}{space 4}-.3658726{col 69}{space 3}  1.68872
{txt}{space 11}13  {c |}{col 16}{res}{space 2} .0632083{col 28}{space 2} .3658383{col 39}{space 1}    0.17{col 48}{space 3}0.863{col 56}{space 4}-.6538216{col 69}{space 3} .7802381
{txt}{space 11}14  {c |}{col 16}{res}{space 2} .4557191{col 28}{space 2} .5205557{col 39}{space 1}    0.88{col 48}{space 3}0.381{col 56}{space 4}-.5645513{col 69}{space 3} 1.475989
{txt}{space 11}15  {c |}{col 16}{res}{space 2}-.0994135{col 28}{space 2} .5042619{col 39}{space 1}   -0.20{col 48}{space 3}0.844{col 56}{space 4}-1.087749{col 69}{space 3} .8889216
{txt}{space 11}16  {c |}{col 16}{res}{space 2} .1890676{col 28}{space 2} .3591579{col 39}{space 1}    0.53{col 48}{space 3}0.599{col 56}{space 4} -.514869{col 69}{space 3} .8930042
{txt}{space 11}17  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (empty)
{space 11}18  {c |}{col 16}{res}{space 2} .7938322{col 28}{space 2} 1.028155{col 39}{space 1}    0.77{col 48}{space 3}0.440{col 56}{space 4}-1.221314{col 69}{space 3} 2.808979
{txt}{space 11}19  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (empty)
{space 11}20  {c |}{col 16}{res}{space 2} .1843703{col 28}{space 2} 1.180897{col 39}{space 1}    0.16{col 48}{space 3}0.876{col 56}{space 4}-2.130146{col 69}{space 3} 2.498887
{txt}{space 11}21  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (empty)
{space 11}22  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (empty)
{space 11}23  {c |}{col 16}{res}{space 2} 2.037801{col 28}{space 2}  .770441{col 39}{space 1}    2.64{col 48}{space 3}0.008{col 56}{space 4} .5277649{col 69}{space 3} 3.547838
{txt}{space 14} {c |}
{space 9}_cons {c |}{col 16}{res}{space 2}-1.669893{col 28}{space 2} .6312104{col 39}{space 1}   -2.65{col 48}{space 3}0.008{col 56}{space 4}-2.907042{col 69}{space 3} -.432743
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. ******ROBUSTNESS - LOSS PROBABILITY (KAYSER AND LINDSTADT 2015) AS ALTERNATIVE MEASURE OF POLITICAL COMPETITION

. 
. *Model 2 including Loss Probability Variable

. logit ecj_int1 c.sumcaseobs1 c.netint   i.agproint i.agantiint i.freegoods_guum i.agri_guum i.freework_guum i.estab_guum i.services_guum i.capital_guum i.transport_guum i.compet_guum i.tax_guum i.socialprov_guum i.environment_guum i.consum_guum c.loss_prob c.eu_support i.court_size i.countrycode , vce(cluster case_celex)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2189.5634}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1376.2773}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1356.9509}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1356.8539}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1356.8539}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}      3340
{txt}{col 51}Wald chi2({res}33{txt}){col 67}= {res}    826.79
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1356.8539{txt}{col 51}Pseudo R2{col 67}= {res}    0.3803

{txt}{ralign 80:(Std. Err. adjusted for {res:1364} clusters in case_celex)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}      ecj_int1{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}sumcaseobs1 {c |}{col 16}{res}{space 2}-1.460349{col 28}{space 2} .6825087{col 39}{space 1}   -2.14{col 48}{space 3}0.032{col 56}{space 4}-2.798041{col 69}{space 3}-.1226562
{txt}{space 8}netint {c |}{col 16}{res}{space 2}  3.31404{col 28}{space 2}  .643756{col 39}{space 1}    5.15{col 48}{space 3}0.000{col 56}{space 4} 2.052301{col 69}{space 3} 4.575778
{txt}{space 4}1.agproint {c |}{col 16}{res}{space 2} 3.568478{col 28}{space 2}  .139487{col 39}{space 1}   25.58{col 48}{space 3}0.000{col 56}{space 4} 3.295088{col 69}{space 3} 3.841867
{txt}{space 3}1.agantiint {c |}{col 16}{res}{space 2} .5507322{col 28}{space 2} .1451402{col 39}{space 1}    3.79{col 48}{space 3}0.000{col 56}{space 4} .2662627{col 69}{space 3} .8352018
{txt}1.freegoods_~m {c |}{col 16}{res}{space 2}-.0763527{col 28}{space 2} .1970546{col 39}{space 1}   -0.39{col 48}{space 3}0.698{col 56}{space 4}-.4625727{col 69}{space 3} .3098673
{txt}{space 3}1.agri_guum {c |}{col 16}{res}{space 2} -.115613{col 28}{space 2} .1973181{col 39}{space 1}   -0.59{col 48}{space 3}0.558{col 56}{space 4}-.5023493{col 69}{space 3} .2711234
{txt}1.freework_g~m {c |}{col 16}{res}{space 2} .7135356{col 28}{space 2} .2085478{col 39}{space 1}    3.42{col 48}{space 3}0.001{col 56}{space 4} .3047895{col 69}{space 3} 1.122282
{txt}{space 2}1.estab_guum {c |}{col 16}{res}{space 2}-.0847015{col 28}{space 2} .2162347{col 39}{space 1}   -0.39{col 48}{space 3}0.695{col 56}{space 4}-.5085138{col 69}{space 3} .3391108
{txt}1.services_g~m {c |}{col 16}{res}{space 2} .1841088{col 28}{space 2} .2439394{col 39}{space 1}    0.75{col 48}{space 3}0.450{col 56}{space 4}-.2940036{col 69}{space 3} .6622212
{txt}1.capital_guum {c |}{col 16}{res}{space 2} .4006997{col 28}{space 2} .2720574{col 39}{space 1}    1.47{col 48}{space 3}0.141{col 56}{space 4}-.1325231{col 69}{space 3} .9339224
{txt}1.transport_~m {c |}{col 16}{res}{space 2} -.404946{col 28}{space 2} .3073688{col 39}{space 1}   -1.32{col 48}{space 3}0.188{col 56}{space 4}-1.007378{col 69}{space 3} .1974858
{txt}{space 1}1.compet_guum {c |}{col 16}{res}{space 2}-.4202866{col 28}{space 2} .2001764{col 39}{space 1}   -2.10{col 48}{space 3}0.036{col 56}{space 4}-.8126252{col 69}{space 3}-.0279481
{txt}{space 4}1.tax_guum {c |}{col 16}{res}{space 2} .2677391{col 28}{space 2} .2003257{col 39}{space 1}    1.34{col 48}{space 3}0.181{col 56}{space 4} -.124892{col 69}{space 3} .6603701
{txt}1.socialprov~m {c |}{col 16}{res}{space 2} .7896696{col 28}{space 2} .2269909{col 39}{space 1}    3.48{col 48}{space 3}0.001{col 56}{space 4} .3447757{col 69}{space 3} 1.234564
{txt}1.environmen~m {c |}{col 16}{res}{space 2} .4392315{col 28}{space 2} .2934256{col 39}{space 1}    1.50{col 48}{space 3}0.134{col 56}{space 4}-.1358721{col 69}{space 3} 1.014335
{txt}{space 1}1.consum_guum {c |}{col 16}{res}{space 2} .0476278{col 28}{space 2} .2534903{col 39}{space 1}    0.19{col 48}{space 3}0.851{col 56}{space 4}-.4492041{col 69}{space 3} .5444597
{txt}{space 5}loss_prob {c |}{col 16}{res}{space 2} .1679528{col 28}{space 2} .3725723{col 39}{space 1}    0.45{col 48}{space 3}0.652{col 56}{space 4}-.5622754{col 69}{space 3}  .898181
{txt}{space 4}eu_support {c |}{col 16}{res}{space 2}-.0111527{col 28}{space 2} .0111169{col 39}{space 1}   -1.00{col 48}{space 3}0.316{col 56}{space 4}-.0329413{col 69}{space 3}  .010636
{txt}{space 14} {c |}
{space 4}court_size {c |}
{space 11}25  {c |}{col 16}{res}{space 2} .0368522{col 28}{space 2} .1734643{col 39}{space 1}    0.21{col 48}{space 3}0.832{col 56}{space 4}-.3031315{col 69}{space 3}  .376836
{txt}{space 11}27  {c |}{col 16}{res}{space 2} .2197561{col 28}{space 2} .1696588{col 39}{space 1}    1.30{col 48}{space 3}0.195{col 56}{space 4}-.1127691{col 69}{space 3} .5522812
{txt}{space 14} {c |}
{space 3}countrycode {c |}
{space 12}2  {c |}{col 16}{res}{space 2} .2454842{col 28}{space 2} .3568396{col 39}{space 1}    0.69{col 48}{space 3}0.491{col 56}{space 4}-.4539085{col 69}{space 3}  .944877
{txt}{space 12}3  {c |}{col 16}{res}{space 2} .4857329{col 28}{space 2} .2573544{col 39}{space 1}    1.89{col 48}{space 3}0.059{col 56}{space 4}-.0186724{col 69}{space 3} .9901382
{txt}{space 12}4  {c |}{col 16}{res}{space 2} .0674667{col 28}{space 2} .4235304{col 39}{space 1}    0.16{col 48}{space 3}0.873{col 56}{space 4}-.7626377{col 69}{space 3} .8975711
{txt}{space 12}5  {c |}{col 16}{res}{space 2} .4323216{col 28}{space 2} .3390392{col 39}{space 1}    1.28{col 48}{space 3}0.202{col 56}{space 4} -.232183{col 69}{space 3} 1.096826
{txt}{space 12}6  {c |}{col 16}{res}{space 2} .5407797{col 28}{space 2} .3743865{col 39}{space 1}    1.44{col 48}{space 3}0.149{col 56}{space 4}-.1930043{col 69}{space 3} 1.274564
{txt}{space 12}7  {c |}{col 16}{res}{space 2} -1.04978{col 28}{space 2} .6125234{col 39}{space 1}   -1.71{col 48}{space 3}0.087{col 56}{space 4}-2.250304{col 69}{space 3} .1507436
{txt}{space 12}9  {c |}{col 16}{res}{space 2}-.0907114{col 28}{space 2} .6174136{col 39}{space 1}   -0.15{col 48}{space 3}0.883{col 56}{space 4} -1.30082{col 69}{space 3} 1.119397
{txt}{space 11}10  {c |}{col 16}{res}{space 2} .1982772{col 28}{space 2} .3120903{col 39}{space 1}    0.64{col 48}{space 3}0.525{col 56}{space 4}-.4134086{col 69}{space 3}  .809963
{txt}{space 11}11  {c |}{col 16}{res}{space 2} .0901273{col 28}{space 2} .3843926{col 39}{space 1}    0.23{col 48}{space 3}0.815{col 56}{space 4}-.6632683{col 69}{space 3} .8435229
{txt}{space 11}12  {c |}{col 16}{res}{space 2} .7665541{col 28}{space 2}  .514678{col 39}{space 1}    1.49{col 48}{space 3}0.136{col 56}{space 4}-.2421963{col 69}{space 3} 1.775304
{txt}{space 11}13  {c |}{col 16}{res}{space 2} .0886032{col 28}{space 2} .3854504{col 39}{space 1}    0.23{col 48}{space 3}0.818{col 56}{space 4}-.6668658{col 69}{space 3} .8440722
{txt}{space 11}14  {c |}{col 16}{res}{space 2} .6154214{col 28}{space 2} .5173841{col 39}{space 1}    1.19{col 48}{space 3}0.234{col 56}{space 4}-.3986327{col 69}{space 3} 1.629476
{txt}{space 11}15  {c |}{col 16}{res}{space 2} .0640194{col 28}{space 2} .4430417{col 39}{space 1}    0.14{col 48}{space 3}0.885{col 56}{space 4}-.8043263{col 69}{space 3} .9323652
{txt}{space 14} {c |}
{space 9}_cons {c |}{col 16}{res}{space 2}-1.692072{col 28}{space 2} .7190939{col 39}{space 1}   -2.35{col 48}{space 3}0.019{col 56}{space 4}-3.101471{col 69}{space 3}-.2826742
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Model 4 including Loss Probability Variable

. logit ecj_int1 c.sumcaseobs1##c.netint   i.agproint i.agantiint i.freegoods_guum i.agri_guum i.freework_guum i.estab_guum i.services_guum i.capital_guum i.transport_guum i.compet_guum i.tax_guum i.socialprov_guum i.environment_guum i.consum_guum c.loss_prob c.eu_support i.court_size i.countrycode , vce(cluster case_celex)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2189.5634}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1372.5741}  
Iteration 2:{space 3}log pseudolikelihood = {res: -1353.758}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1353.6679}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1353.6679}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}      3340
{txt}{col 51}Wald chi2({res}34{txt}){col 67}= {res}    822.43
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1353.6679{txt}{col 51}Pseudo R2{col 67}= {res}    0.3818

{txt}{ralign 80:(Std. Err. adjusted for {res:1364} clusters in case_celex)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}      ecj_int1{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}sumcaseobs1 {c |}{col 16}{res}{space 2}-1.899054{col 28}{space 2}  .698028{col 39}{space 1}   -2.72{col 48}{space 3}0.007{col 56}{space 4}-3.267164{col 69}{space 3}-.5309446
{txt}{space 8}netint {c |}{col 16}{res}{space 2} 4.978166{col 28}{space 2} .9601516{col 39}{space 1}    5.18{col 48}{space 3}0.000{col 56}{space 4} 3.096303{col 69}{space 3} 6.860029
{txt}{space 14} {c |}
{space 1}c.sumcaseobs1#{c |}
{space 6}c.netint {c |}{col 16}{res}{space 2}-6.978425{col 28}{space 2} 2.332123{col 39}{space 1}   -2.99{col 48}{space 3}0.003{col 56}{space 4} -11.5493{col 69}{space 3}-2.407548
{txt}{space 14} {c |}
{space 4}1.agproint {c |}{col 16}{res}{space 2} 3.595075{col 28}{space 2} .1411144{col 39}{space 1}   25.48{col 48}{space 3}0.000{col 56}{space 4} 3.318496{col 69}{space 3} 3.871654
{txt}{space 3}1.agantiint {c |}{col 16}{res}{space 2} .5687143{col 28}{space 2} .1451577{col 39}{space 1}    3.92{col 48}{space 3}0.000{col 56}{space 4} .2842104{col 69}{space 3} .8532182
{txt}1.freegoods_~m {c |}{col 16}{res}{space 2}-.0917742{col 28}{space 2} .1973593{col 39}{space 1}   -0.47{col 48}{space 3}0.642{col 56}{space 4}-.4785912{col 69}{space 3} .2950429
{txt}{space 3}1.agri_guum {c |}{col 16}{res}{space 2}-.1294867{col 28}{space 2} .1965159{col 39}{space 1}   -0.66{col 48}{space 3}0.510{col 56}{space 4}-.5146508{col 69}{space 3} .2556774
{txt}1.freework_g~m {c |}{col 16}{res}{space 2}  .728768{col 28}{space 2} .2088716{col 39}{space 1}    3.49{col 48}{space 3}0.000{col 56}{space 4} .3193871{col 69}{space 3} 1.138149
{txt}{space 2}1.estab_guum {c |}{col 16}{res}{space 2}-.0854622{col 28}{space 2} .2131312{col 39}{space 1}   -0.40{col 48}{space 3}0.688{col 56}{space 4}-.5031917{col 69}{space 3} .3322673
{txt}1.services_g~m {c |}{col 16}{res}{space 2} .1850639{col 28}{space 2} .2404781{col 39}{space 1}    0.77{col 48}{space 3}0.442{col 56}{space 4}-.2862646{col 69}{space 3} .6563924
{txt}1.capital_guum {c |}{col 16}{res}{space 2} .4313053{col 28}{space 2} .2733802{col 39}{space 1}    1.58{col 48}{space 3}0.115{col 56}{space 4}-.1045099{col 69}{space 3} .9671206
{txt}1.transport_~m {c |}{col 16}{res}{space 2}-.4138161{col 28}{space 2} .3061862{col 39}{space 1}   -1.35{col 48}{space 3}0.177{col 56}{space 4} -1.01393{col 69}{space 3} .1862979
{txt}{space 1}1.compet_guum {c |}{col 16}{res}{space 2}-.4176858{col 28}{space 2} .1983786{col 39}{space 1}   -2.11{col 48}{space 3}0.035{col 56}{space 4}-.8065006{col 69}{space 3} -.028871
{txt}{space 4}1.tax_guum {c |}{col 16}{res}{space 2} .2719755{col 28}{space 2} .1997221{col 39}{space 1}    1.36{col 48}{space 3}0.173{col 56}{space 4}-.1194726{col 69}{space 3} .6634235
{txt}1.socialprov~m {c |}{col 16}{res}{space 2} .8117511{col 28}{space 2} .2271254{col 39}{space 1}    3.57{col 48}{space 3}0.000{col 56}{space 4} .3665935{col 69}{space 3} 1.256909
{txt}1.environmen~m {c |}{col 16}{res}{space 2} .4632907{col 28}{space 2} .2933283{col 39}{space 1}    1.58{col 48}{space 3}0.114{col 56}{space 4}-.1116222{col 69}{space 3} 1.038204
{txt}{space 1}1.consum_guum {c |}{col 16}{res}{space 2} .0698469{col 28}{space 2} .2556852{col 39}{space 1}    0.27{col 48}{space 3}0.785{col 56}{space 4} -.431287{col 69}{space 3} .5709807
{txt}{space 5}loss_prob {c |}{col 16}{res}{space 2}  .185054{col 28}{space 2} .3731813{col 39}{space 1}    0.50{col 48}{space 3}0.620{col 56}{space 4}-.5463679{col 69}{space 3} .9164759
{txt}{space 4}eu_support {c |}{col 16}{res}{space 2}-.0110861{col 28}{space 2} .0110846{col 39}{space 1}   -1.00{col 48}{space 3}0.317{col 56}{space 4}-.0328116{col 69}{space 3} .0106395
{txt}{space 14} {c |}
{space 4}court_size {c |}
{space 11}25  {c |}{col 16}{res}{space 2} .0262594{col 28}{space 2} .1735419{col 39}{space 1}    0.15{col 48}{space 3}0.880{col 56}{space 4}-.3138764{col 69}{space 3} .3663953
{txt}{space 11}27  {c |}{col 16}{res}{space 2} .2198049{col 28}{space 2} .1691544{col 39}{space 1}    1.30{col 48}{space 3}0.194{col 56}{space 4}-.1117317{col 69}{space 3} .5513415
{txt}{space 14} {c |}
{space 3}countrycode {c |}
{space 12}2  {c |}{col 16}{res}{space 2} .2455237{col 28}{space 2} .3590358{col 39}{space 1}    0.68{col 48}{space 3}0.494{col 56}{space 4}-.4581734{col 69}{space 3} .9492209
{txt}{space 12}3  {c |}{col 16}{res}{space 2} .4916064{col 28}{space 2} .2570173{col 39}{space 1}    1.91{col 48}{space 3}0.056{col 56}{space 4}-.0121381{col 69}{space 3}  .995351
{txt}{space 12}4  {c |}{col 16}{res}{space 2} .0764482{col 28}{space 2} .4185358{col 39}{space 1}    0.18{col 48}{space 3}0.855{col 56}{space 4}-.7438668{col 69}{space 3} .8967632
{txt}{space 12}5  {c |}{col 16}{res}{space 2} .4360785{col 28}{space 2}  .343036{col 39}{space 1}    1.27{col 48}{space 3}0.204{col 56}{space 4}-.2362596{col 69}{space 3} 1.108417
{txt}{space 12}6  {c |}{col 16}{res}{space 2} .5699346{col 28}{space 2} .3747056{col 39}{space 1}    1.52{col 48}{space 3}0.128{col 56}{space 4}-.1644749{col 69}{space 3} 1.304344
{txt}{space 12}7  {c |}{col 16}{res}{space 2}-1.070802{col 28}{space 2} .6238527{col 39}{space 1}   -1.72{col 48}{space 3}0.086{col 56}{space 4} -2.29353{col 69}{space 3} .1519271
{txt}{space 12}9  {c |}{col 16}{res}{space 2}-.1108278{col 28}{space 2} .6231162{col 39}{space 1}   -0.18{col 48}{space 3}0.859{col 56}{space 4}-1.332113{col 69}{space 3} 1.110457
{txt}{space 11}10  {c |}{col 16}{res}{space 2}  .213101{col 28}{space 2} .3099366{col 39}{space 1}    0.69{col 48}{space 3}0.492{col 56}{space 4}-.3943636{col 69}{space 3} .8205655
{txt}{space 11}11  {c |}{col 16}{res}{space 2} .1052463{col 28}{space 2} .3837131{col 39}{space 1}    0.27{col 48}{space 3}0.784{col 56}{space 4}-.6468176{col 69}{space 3} .8573102
{txt}{space 11}12  {c |}{col 16}{res}{space 2} .7930696{col 28}{space 2} .5143865{col 39}{space 1}    1.54{col 48}{space 3}0.123{col 56}{space 4}-.2151094{col 69}{space 3} 1.801249
{txt}{space 11}13  {c |}{col 16}{res}{space 2} .0897188{col 28}{space 2} .3877316{col 39}{space 1}    0.23{col 48}{space 3}0.817{col 56}{space 4}-.6702213{col 69}{space 3} .8496588
{txt}{space 11}14  {c |}{col 16}{res}{space 2} .6270362{col 28}{space 2}  .516297{col 39}{space 1}    1.21{col 48}{space 3}0.225{col 56}{space 4}-.3848873{col 69}{space 3}  1.63896
{txt}{space 11}15  {c |}{col 16}{res}{space 2} .0782128{col 28}{space 2} .4418022{col 39}{space 1}    0.18{col 48}{space 3}0.859{col 56}{space 4}-.7877036{col 69}{space 3} .9441292
{txt}{space 14} {c |}
{space 9}_cons {c |}{col 16}{res}{space 2}-1.665375{col 28}{space 2} .7162719{col 39}{space 1}   -2.33{col 48}{space 3}0.020{col 56}{space 4}-3.069242{col 69}{space 3}-.2615078
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. logit ecj_int1 c.chamber c.netint citation_count  i.agproint i.agantiint i.freegoods_guum i.agri_guum i.freework_guum i.estab_guum i.services_guum i.capital_guum i.transport_guum i.compet_guum i.tax_guum i.socialprov_guum i.environment_guum i.consum_guum c.lastelectionpartycompetition c.eu_support i.court_size i.countrycode , vce(cluster case_celex)

{txt}note: 17.countrycode != 0 predicts failure perfectly
      17.countrycode dropped and 1 obs not used

note: 19.countrycode != 0 predicts failure perfectly
      19.countrycode dropped and 17 obs not used

note: 21.countrycode != 0 predicts failure perfectly
      21.countrycode dropped and 2 obs not used

note: 22.countrycode != 0 predicts failure perfectly
      22.countrycode dropped and 1 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2497.3435}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1583.3533}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1563.4579}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1563.3625}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1563.3625}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}      3808
{txt}{col 51}{help j_robustsingular##|_new:Wald chi2(38)}{col 67}=          {res}.
{txt}{col 51}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-1563.3625{txt}{col 51}Pseudo R2{col 67}= {res}    0.3740

{txt}{ralign 80:(Std. Err. adjusted for {res:1587} clusters in case_celex)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}      ecj_int1{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}chamber {c |}{col 16}{res}{space 2}-.8559748{col 28}{space 2} .3303009{col 39}{space 1}   -2.59{col 48}{space 3}0.010{col 56}{space 4}-1.503353{col 69}{space 3}-.2085969
{txt}{space 8}netint {c |}{col 16}{res}{space 2} 3.164536{col 28}{space 2} .5666967{col 39}{space 1}    5.58{col 48}{space 3}0.000{col 56}{space 4} 2.053831{col 69}{space 3} 4.275241
{txt}citation_count {c |}{col 16}{res}{space 2} .0053455{col 28}{space 2} .0021143{col 39}{space 1}    2.53{col 48}{space 3}0.011{col 56}{space 4} .0012015{col 69}{space 3} .0094894
{txt}{space 4}1.agproint {c |}{col 16}{res}{space 2} 3.550248{col 28}{space 2} .1294031{col 39}{space 1}   27.44{col 48}{space 3}0.000{col 56}{space 4} 3.296623{col 69}{space 3} 3.803873
{txt}{space 3}1.agantiint {c |}{col 16}{res}{space 2}  .546497{col 28}{space 2} .1361375{col 39}{space 1}    4.01{col 48}{space 3}0.000{col 56}{space 4} .2796724{col 69}{space 3} .8133217
{txt}1.freegoods_~m {c |}{col 16}{res}{space 2}-.1272769{col 28}{space 2} .1824629{col 39}{space 1}   -0.70{col 48}{space 3}0.485{col 56}{space 4}-.4848975{col 69}{space 3} .2303438
{txt}{space 3}1.agri_guum {c |}{col 16}{res}{space 2} .0078672{col 28}{space 2} .1802253{col 39}{space 1}    0.04{col 48}{space 3}0.965{col 56}{space 4}-.3453679{col 69}{space 3} .3611023
{txt}1.freework_g~m {c |}{col 16}{res}{space 2}  .572425{col 28}{space 2} .2054787{col 39}{space 1}    2.79{col 48}{space 3}0.005{col 56}{space 4} .1696942{col 69}{space 3} .9751559
{txt}{space 2}1.estab_guum {c |}{col 16}{res}{space 2}-.1606947{col 28}{space 2} .2027835{col 39}{space 1}   -0.79{col 48}{space 3}0.428{col 56}{space 4}-.5581431{col 69}{space 3} .2367537
{txt}1.services_g~m {c |}{col 16}{res}{space 2}  .184322{col 28}{space 2} .2237217{col 39}{space 1}    0.82{col 48}{space 3}0.410{col 56}{space 4}-.2541645{col 69}{space 3} .6228085
{txt}1.capital_guum {c |}{col 16}{res}{space 2} .1518104{col 28}{space 2}  .264616{col 39}{space 1}    0.57{col 48}{space 3}0.566{col 56}{space 4}-.3668275{col 69}{space 3} .6704482
{txt}1.transport_~m {c |}{col 16}{res}{space 2}-.4433753{col 28}{space 2} .2959764{col 39}{space 1}   -1.50{col 48}{space 3}0.134{col 56}{space 4}-1.023478{col 69}{space 3} .1367278
{txt}{space 1}1.compet_guum {c |}{col 16}{res}{space 2}-.5284587{col 28}{space 2} .1818453{col 39}{space 1}   -2.91{col 48}{space 3}0.004{col 56}{space 4} -.884869{col 69}{space 3}-.1720485
{txt}{space 4}1.tax_guum {c |}{col 16}{res}{space 2} .3877841{col 28}{space 2} .1848849{col 39}{space 1}    2.10{col 48}{space 3}0.036{col 56}{space 4} .0254163{col 69}{space 3} .7501519
{txt}1.socialprov~m {c |}{col 16}{res}{space 2} .7284807{col 28}{space 2} .2144331{col 39}{space 1}    3.40{col 48}{space 3}0.001{col 56}{space 4} .3081995{col 69}{space 3} 1.148762
{txt}1.environmen~m {c |}{col 16}{res}{space 2} .4421399{col 28}{space 2} .2542706{col 39}{space 1}    1.74{col 48}{space 3}0.082{col 56}{space 4}-.0562213{col 69}{space 3} .9405011
{txt}{space 1}1.consum_guum {c |}{col 16}{res}{space 2}-.0250646{col 28}{space 2} .2446781{col 39}{space 1}   -0.10{col 48}{space 3}0.918{col 56}{space 4}-.5046249{col 69}{space 3} .4544956
{txt}lastelection~n {c |}{col 16}{res}{space 2} .2750335{col 28}{space 2} 1.078337{col 39}{space 1}    0.26{col 48}{space 3}0.799{col 56}{space 4}-1.838469{col 69}{space 3} 2.388536
{txt}{space 4}eu_support {c |}{col 16}{res}{space 2}-.0099686{col 28}{space 2} .0096018{col 39}{space 1}   -1.04{col 48}{space 3}0.299{col 56}{space 4}-.0287878{col 69}{space 3} .0088506
{txt}{space 14} {c |}
{space 4}court_size {c |}
{space 11}25  {c |}{col 16}{res}{space 2} .0824718{col 28}{space 2} .1524284{col 39}{space 1}    0.54{col 48}{space 3}0.588{col 56}{space 4}-.2162823{col 69}{space 3} .3812259
{txt}{space 11}27  {c |}{col 16}{res}{space 2} .1532801{col 28}{space 2} .1503045{col 39}{space 1}    1.02{col 48}{space 3}0.308{col 56}{space 4}-.1413113{col 69}{space 3} .4478716
{txt}{space 14} {c |}
{space 3}countrycode {c |}
{space 12}2  {c |}{col 16}{res}{space 2} .1633572{col 28}{space 2} .3351814{col 39}{space 1}    0.49{col 48}{space 3}0.626{col 56}{space 4}-.4935863{col 69}{space 3} .8203007
{txt}{space 12}3  {c |}{col 16}{res}{space 2} .4442156{col 28}{space 2} .2630434{col 39}{space 1}    1.69{col 48}{space 3}0.091{col 56}{space 4}  -.07134{col 69}{space 3} .9597712
{txt}{space 12}4  {c |}{col 16}{res}{space 2}-.0586164{col 28}{space 2} .4542628{col 39}{space 1}   -0.13{col 48}{space 3}0.897{col 56}{space 4}-.9489551{col 69}{space 3} .8317224
{txt}{space 12}5  {c |}{col 16}{res}{space 2} .3512298{col 28}{space 2} .3471405{col 39}{space 1}    1.01{col 48}{space 3}0.312{col 56}{space 4}-.3291532{col 69}{space 3} 1.031613
{txt}{space 12}6  {c |}{col 16}{res}{space 2}  .134618{col 28}{space 2} .4406256{col 39}{space 1}    0.31{col 48}{space 3}0.760{col 56}{space 4}-.7289924{col 69}{space 3} .9982284
{txt}{space 12}7  {c |}{col 16}{res}{space 2}-1.344205{col 28}{space 2} .6187795{col 39}{space 1}   -2.17{col 48}{space 3}0.030{col 56}{space 4}-2.556991{col 69}{space 3}-.1314197
{txt}{space 12}8  {c |}{col 16}{res}{space 2} .1671406{col 28}{space 2} .3314932{col 39}{space 1}    0.50{col 48}{space 3}0.614{col 56}{space 4}-.4825741{col 69}{space 3} .8168553
{txt}{space 12}9  {c |}{col 16}{res}{space 2} -.168182{col 28}{space 2} .5898408{col 39}{space 1}   -0.29{col 48}{space 3}0.776{col 56}{space 4}-1.324249{col 69}{space 3} .9878846
{txt}{space 11}10  {c |}{col 16}{res}{space 2} .0622203{col 28}{space 2} .2959817{col 39}{space 1}    0.21{col 48}{space 3}0.833{col 56}{space 4}-.5178932{col 69}{space 3} .6423339
{txt}{space 11}11  {c |}{col 16}{res}{space 2}  .031831{col 28}{space 2} .3525874{col 39}{space 1}    0.09{col 48}{space 3}0.928{col 56}{space 4}-.6592276{col 69}{space 3} .7228896
{txt}{space 11}12  {c |}{col 16}{res}{space 2} .5686017{col 28}{space 2}  .530288{col 39}{space 1}    1.07{col 48}{space 3}0.284{col 56}{space 4}-.4707437{col 69}{space 3} 1.607947
{txt}{space 11}13  {c |}{col 16}{res}{space 2}  .023674{col 28}{space 2}  .364656{col 39}{space 1}    0.06{col 48}{space 3}0.948{col 56}{space 4}-.6910385{col 69}{space 3} .7383866
{txt}{space 11}14  {c |}{col 16}{res}{space 2} .4595676{col 28}{space 2} .5172855{col 39}{space 1}    0.89{col 48}{space 3}0.374{col 56}{space 4}-.5542933{col 69}{space 3} 1.473428
{txt}{space 11}15  {c |}{col 16}{res}{space 2}-.0794486{col 28}{space 2} .5088106{col 39}{space 1}   -0.16{col 48}{space 3}0.876{col 56}{space 4}-1.076699{col 69}{space 3} .9178019
{txt}{space 11}16  {c |}{col 16}{res}{space 2} .3512065{col 28}{space 2} .3639326{col 39}{space 1}    0.97{col 48}{space 3}0.335{col 56}{space 4}-.3620883{col 69}{space 3} 1.064501
{txt}{space 11}17  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (empty)
{space 11}18  {c |}{col 16}{res}{space 2} .7242603{col 28}{space 2} .9821419{col 39}{space 1}    0.74{col 48}{space 3}0.461{col 56}{space 4}-1.200702{col 69}{space 3} 2.649223
{txt}{space 11}19  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (empty)
{space 11}20  {c |}{col 16}{res}{space 2} .0787829{col 28}{space 2}  1.18349{col 39}{space 1}    0.07{col 48}{space 3}0.947{col 56}{space 4}-2.240816{col 69}{space 3} 2.398382
{txt}{space 11}21  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (empty)
{space 11}22  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (empty)
{space 11}23  {c |}{col 16}{res}{space 2} 2.059111{col 28}{space 2} .7824412{col 39}{space 1}    2.63{col 48}{space 3}0.008{col 56}{space 4} .5255542{col 69}{space 3} 3.592667
{txt}{space 14} {c |}
{space 9}_cons {c |}{col 16}{res}{space 2}-1.609332{col 28}{space 2}  .643982{col 39}{space 1}   -2.50{col 48}{space 3}0.012{col 56}{space 4}-2.871514{col 69}{space 3} -.347151
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit ecj_int1 i.large_chamber##c.netint citation_count  i.agproint i.agantiint i.freegoods_guum i.agri_guum i.freework_guum i.estab_guum i.services_guum i.capital_guum i.transport_guum i.compet_guum i.tax_guum i.socialprov_guum i.environment_guum i.consum_guum c.lastelectionpartycompetition c.eu_support i.court_size i.countrycode , vce(cluster case_celex)

{txt}note: 17.countrycode != 0 predicts failure perfectly
      17.countrycode dropped and 1 obs not used

note: 19.countrycode != 0 predicts failure perfectly
      19.countrycode dropped and 17 obs not used

note: 21.countrycode != 0 predicts failure perfectly
      21.countrycode dropped and 2 obs not used

note: 22.countrycode != 0 predicts failure perfectly
      22.countrycode dropped and 1 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2497.3435}  
Iteration 1:{space 3}log pseudolikelihood = {res: -1581.899}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1561.8717}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1561.7734}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1561.7734}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}      3808
{txt}{col 51}{help j_robustsingular##|_new:Wald chi2(39)}{col 67}=          {res}.
{txt}{col 51}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-1561.7734{txt}{col 51}Pseudo R2{col 67}= {res}    0.3746

{txt}{ralign 80:(Std. Err. adjusted for {res:1587} clusters in case_celex)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}      ecj_int1{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.large_cham~r {c |}{col 16}{res}{space 2}-.6448704{col 28}{space 2} .2188778{col 39}{space 1}   -2.95{col 48}{space 3}0.003{col 56}{space 4}-1.073863{col 69}{space 3}-.2158778
{txt}{space 8}netint {c |}{col 16}{res}{space 2} 3.618664{col 28}{space 2} .6318704{col 39}{space 1}    5.73{col 48}{space 3}0.000{col 56}{space 4} 2.380221{col 69}{space 3} 4.857108
{txt}{space 14} {c |}
{space 1}large_chamber#{c |}
{space 6}c.netint {c |}
{space 12}1  {c |}{col 16}{res}{space 2}-2.239042{col 28}{space 2} 1.203779{col 39}{space 1}   -1.86{col 48}{space 3}0.063{col 56}{space 4}-4.598406{col 69}{space 3} .1203213
{txt}{space 14} {c |}
citation_count {c |}{col 16}{res}{space 2} .0049111{col 28}{space 2} .0020728{col 39}{space 1}    2.37{col 48}{space 3}0.018{col 56}{space 4} .0008485{col 69}{space 3} .0089737
{txt}{space 4}1.agproint {c |}{col 16}{res}{space 2} 3.547229{col 28}{space 2}  .130309{col 39}{space 1}   27.22{col 48}{space 3}0.000{col 56}{space 4} 3.291828{col 69}{space 3}  3.80263
{txt}{space 3}1.agantiint {c |}{col 16}{res}{space 2} .5478439{col 28}{space 2} .1367978{col 39}{space 1}    4.00{col 48}{space 3}0.000{col 56}{space 4} .2797252{col 69}{space 3} .8159627
{txt}1.freegoods_~m {c |}{col 16}{res}{space 2}-.1540426{col 28}{space 2} .1808758{col 39}{space 1}   -0.85{col 48}{space 3}0.394{col 56}{space 4}-.5085526{col 69}{space 3} .2004673
{txt}{space 3}1.agri_guum {c |}{col 16}{res}{space 2} .0318628{col 28}{space 2} .1796988{col 39}{space 1}    0.18{col 48}{space 3}0.859{col 56}{space 4}-.3203403{col 69}{space 3} .3840659
{txt}1.freework_g~m {c |}{col 16}{res}{space 2} .5435982{col 28}{space 2} .2063995{col 39}{space 1}    2.63{col 48}{space 3}0.008{col 56}{space 4} .1390627{col 69}{space 3} .9481337
{txt}{space 2}1.estab_guum {c |}{col 16}{res}{space 2}-.1986396{col 28}{space 2} .2013382{col 39}{space 1}   -0.99{col 48}{space 3}0.324{col 56}{space 4}-.5932552{col 69}{space 3} .1959759
{txt}1.services_g~m {c |}{col 16}{res}{space 2} .2162106{col 28}{space 2}  .221686{col 39}{space 1}    0.98{col 48}{space 3}0.329{col 56}{space 4} -.218286{col 69}{space 3} .6507072
{txt}1.capital_guum {c |}{col 16}{res}{space 2} .1572479{col 28}{space 2} .2671164{col 39}{space 1}    0.59{col 48}{space 3}0.556{col 56}{space 4}-.3662907{col 69}{space 3} .6807865
{txt}1.transport_~m {c |}{col 16}{res}{space 2}-.4725174{col 28}{space 2} .2953684{col 39}{space 1}   -1.60{col 48}{space 3}0.110{col 56}{space 4}-1.051429{col 69}{space 3} .1063941
{txt}{space 1}1.compet_guum {c |}{col 16}{res}{space 2}-.5123919{col 28}{space 2} .1802032{col 39}{space 1}   -2.84{col 48}{space 3}0.004{col 56}{space 4}-.8655837{col 69}{space 3}-.1592001
{txt}{space 4}1.tax_guum {c |}{col 16}{res}{space 2} .4044666{col 28}{space 2} .1836505{col 39}{space 1}    2.20{col 48}{space 3}0.028{col 56}{space 4} .0445183{col 69}{space 3} .7644149
{txt}1.socialprov~m {c |}{col 16}{res}{space 2} .7313196{col 28}{space 2} .2130894{col 39}{space 1}    3.43{col 48}{space 3}0.001{col 56}{space 4} .3136721{col 69}{space 3} 1.148967
{txt}1.environmen~m {c |}{col 16}{res}{space 2}  .446026{col 28}{space 2} .2555066{col 39}{space 1}    1.75{col 48}{space 3}0.081{col 56}{space 4}-.0547577{col 69}{space 3} .9468096
{txt}{space 1}1.consum_guum {c |}{col 16}{res}{space 2}-.0334123{col 28}{space 2} .2427742{col 39}{space 1}   -0.14{col 48}{space 3}0.891{col 56}{space 4}-.5092411{col 69}{space 3} .4424164
{txt}lastelection~n {c |}{col 16}{res}{space 2} .3369959{col 28}{space 2} 1.071168{col 39}{space 1}    0.31{col 48}{space 3}0.753{col 56}{space 4}-1.762455{col 69}{space 3} 2.436447
{txt}{space 4}eu_support {c |}{col 16}{res}{space 2}-.0098142{col 28}{space 2} .0095554{col 39}{space 1}   -1.03{col 48}{space 3}0.304{col 56}{space 4}-.0285424{col 69}{space 3}  .008914
{txt}{space 14} {c |}
{space 4}court_size {c |}
{space 11}25  {c |}{col 16}{res}{space 2} .0928875{col 28}{space 2} .1517349{col 39}{space 1}    0.61{col 48}{space 3}0.540{col 56}{space 4}-.2045073{col 69}{space 3} .3902824
{txt}{space 11}27  {c |}{col 16}{res}{space 2} .2003111{col 28}{space 2} .1472201{col 39}{space 1}    1.36{col 48}{space 3}0.174{col 56}{space 4} -.088235{col 69}{space 3} .4888572
{txt}{space 14} {c |}
{space 3}countrycode {c |}
{space 12}2  {c |}{col 16}{res}{space 2} .1367278{col 28}{space 2} .3354309{col 39}{space 1}    0.41{col 48}{space 3}0.684{col 56}{space 4}-.5207047{col 69}{space 3} .7941602
{txt}{space 12}3  {c |}{col 16}{res}{space 2} .4448949{col 28}{space 2} .2615566{col 39}{space 1}    1.70{col 48}{space 3}0.089{col 56}{space 4}-.0677466{col 69}{space 3} .9575364
{txt}{space 12}4  {c |}{col 16}{res}{space 2}-.0750819{col 28}{space 2} .4462339{col 39}{space 1}   -0.17{col 48}{space 3}0.866{col 56}{space 4}-.9496843{col 69}{space 3} .7995205
{txt}{space 12}5  {c |}{col 16}{res}{space 2} .3569166{col 28}{space 2} .3484996{col 39}{space 1}    1.02{col 48}{space 3}0.306{col 56}{space 4}  -.32613{col 69}{space 3} 1.039963
{txt}{space 12}6  {c |}{col 16}{res}{space 2} .1276017{col 28}{space 2} .4376878{col 39}{space 1}    0.29{col 48}{space 3}0.771{col 56}{space 4}-.7302506{col 69}{space 3}  .985454
{txt}{space 12}7  {c |}{col 16}{res}{space 2}-1.343775{col 28}{space 2} .6034744{col 39}{space 1}   -2.23{col 48}{space 3}0.026{col 56}{space 4}-2.526564{col 69}{space 3}-.1609873
{txt}{space 12}8  {c |}{col 16}{res}{space 2}  .178087{col 28}{space 2} .3292016{col 39}{space 1}    0.54{col 48}{space 3}0.589{col 56}{space 4}-.4671363{col 69}{space 3} .8233102
{txt}{space 12}9  {c |}{col 16}{res}{space 2}-.0870019{col 28}{space 2} .6125525{col 39}{space 1}   -0.14{col 48}{space 3}0.887{col 56}{space 4}-1.287583{col 69}{space 3} 1.113579
{txt}{space 11}10  {c |}{col 16}{res}{space 2} .0360147{col 28}{space 2} .2951166{col 39}{space 1}    0.12{col 48}{space 3}0.903{col 56}{space 4}-.5424032{col 69}{space 3} .6144325
{txt}{space 11}11  {c |}{col 16}{res}{space 2} .0292848{col 28}{space 2} .3507685{col 39}{space 1}    0.08{col 48}{space 3}0.933{col 56}{space 4}-.6582089{col 69}{space 3} .7167784
{txt}{space 11}12  {c |}{col 16}{res}{space 2} .5624391{col 28}{space 2} .5309859{col 39}{space 1}    1.06{col 48}{space 3}0.289{col 56}{space 4} -.478274{col 69}{space 3} 1.603152
{txt}{space 11}13  {c |}{col 16}{res}{space 2} .0159402{col 28}{space 2} .3651506{col 39}{space 1}    0.04{col 48}{space 3}0.965{col 56}{space 4}-.6997418{col 69}{space 3} .7316223
{txt}{space 11}14  {c |}{col 16}{res}{space 2} .4155378{col 28}{space 2} .5092249{col 39}{space 1}    0.82{col 48}{space 3}0.414{col 56}{space 4}-.5825246{col 69}{space 3}   1.4136
{txt}{space 11}15  {c |}{col 16}{res}{space 2}  -.11067{col 28}{space 2} .5051225{col 39}{space 1}   -0.22{col 48}{space 3}0.827{col 56}{space 4}-1.100692{col 69}{space 3}  .879352
{txt}{space 11}16  {c |}{col 16}{res}{space 2}  .371122{col 28}{space 2} .3620971{col 39}{space 1}    1.02{col 48}{space 3}0.305{col 56}{space 4}-.3385753{col 69}{space 3} 1.080819
{txt}{space 11}17  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (empty)
{space 11}18  {c |}{col 16}{res}{space 2} .7210034{col 28}{space 2} 1.008286{col 39}{space 1}    0.72{col 48}{space 3}0.475{col 56}{space 4}-1.255201{col 69}{space 3} 2.697208
{txt}{space 11}19  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (empty)
{space 11}20  {c |}{col 16}{res}{space 2} .0435683{col 28}{space 2} 1.237899{col 39}{space 1}    0.04{col 48}{space 3}0.972{col 56}{space 4}-2.382669{col 69}{space 3} 2.469806
{txt}{space 11}21  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (empty)
{space 11}22  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (empty)
{space 11}23  {c |}{col 16}{res}{space 2} 2.089999{col 28}{space 2} .7731151{col 39}{space 1}    2.70{col 48}{space 3}0.007{col 56}{space 4} .5747213{col 69}{space 3} 3.605277
{txt}{space 14} {c |}
{space 9}_cons {c |}{col 16}{res}{space 2}-1.841336{col 28}{space 2}  .631714{col 39}{space 1}   -2.91{col 48}{space 3}0.004{col 56}{space 4}-3.079472{col 69}{space 3}-.6031991
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